Hot spot residues at protein-DNA binding interfaces are hugely important for investigating the underlying mechanism of molecular recognition. Currently, there are a few tools available for identifying the hot spot residues in the protein-DNA complexes. In addition, the three-dimensional protein structures are needed in these tools. However, it is well known that the three-dimensional structures are unavailable for most proteins. Considering the limitation, we proposed a method, named SPDH, for predicting hot spot residues only based on protein sequences. Firstly, we obtained 133 features from physicochemical property, conservation, predicted solvent accessible surface area and structure. Then, we systematically assessed these features based on various feature selection methods to obtain the optimal feature subset and compared the models using four classical machine learning algorithms (support vector machine, random forest, logistic regression, and k-nearest neighbor) on the training dataset. We found that the variability of physicochemical property features between wild and mutative types was important on improving the performance of the prediction model. On the independent test set, our method achieved the performance with AUC of 0.760 and sensitivity of 0.808, and outperformed other methods. The data and source code can be downloaded at https//github.com/xialab-ahu/SPDH .The recent emergence and rapid global spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pose an unprecedented medical and socioeconomic crisis, and the disease caused by it, Coronavirus disease 2019 (COVID-19), was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. Chinese scientists and physicians rapidly identified the causative pathogen, which turned out to be a novel betacoronavirus with high sequence similarities to bat and pangolin coronaviruses. The scientific community has ignited tremendous efforts to unravel the biological underpinning of SARS-CoV-2, which constitutes the foundation for therapy and vaccine development strategies. Here, we summarize the current state of knowledge on the genome, structure, receptor, and origin of SARS-CoV-2.This study systematically identified and synthesized empirical data-driven modeling studies that projected the future influence of global warming on people's physical activity patterns.
A total of ten studies met the eligibility criteria and were included in the review. https://www.selleckchem.com/products/sr-4835.html Global warming, in general, was predicted to be associated with a net increase in active commuting and leisure-time physical activity. However, the specific relationship between climate change and future physical activity patterns was expected to vary by the periods of prediction, geographical locations, population subgroups, and seasons. Moreover, the positive association between global warming and physical activity could level off or be reversed once reaching a temperature threshold. Preliminary evidence suggested a net increase in physical activity by mid- to late-twenty-first century owing to global warming. Future studies should refine the projections by taking into account the indirect effect of global warming through induced naturaleasures to mitigate the negative impact of global warming on vulnerable population subgroups.Type 1 diabetes mellitus (T1DM) is on the rise in Saudi Arabia. Management of T1DM is crucial in curbing the economic burden of this disease. Studies on insulin pump issues are scarce in the region. The present study aims to fill this gap.
In this single-centre, retrospective study done in King Abdulaziz Medical City (KAMC) from March 2018 to March 2019, a total of 118 known Saudi T1DM adults (34 males and 84 females) were included. Data on demographics, glycated haemoglobin (HbA1c) and CSII use were collected.
The most common problem encountered by the patients on CSII was breaking down of the pump (30.0%), relocation of the cannula or tubing (22%) and air bubbles affecting delivery (16.1%). Eighty-one subjects (68.6%) claimed to have been admitted for DM management while on CSII. The use of CSII led to a significant reduction in HbA1c in all subjects (p?&lt;?0.001), but levels remain suboptimal. Only 53 subjects (44.9%) reported no significant problems in their CSII experience.
There is a high prevalence of T1DM adult patients experiencing device malfunctions and other issues while on CSII therapy. This may account for suboptimal improvement in the glycaemic control among T1DM Saudi patients. Issues on adherence and device malfunctions should be investigated further.
There is a high prevalence of T1DM adult patients experiencing device malfunctions and other issues while on CSII therapy. This may account for suboptimal improvement in the glycaemic control among T1DM Saudi patients. Issues on adherence and device malfunctions should be investigated further.A 68-year-old woman was referred to our hospital because of ruptured severely calcified thoracic aortic aneurysm on chest computed tomography. She was diagnosed with Takayasu's arteritis ~ 30 years ago and was treated with oral steroids daily. We performed total arch repair using uncalcified ascending aorta with open stent-grafting technique, and additional thoracic endovascular aortic repair immediately after open surgery to avoid type Ib endoleak. Continuous hemodiafiltration was needed owing to postoperative transient acute renal failure, following which the patient recovered. She was referred to another hospital 50 days after surgery. A single-stage hybrid procedure for ruptured severe calcified thoracic aortic aneurysm caused by Takayasu's arteritis was required in this case.Constant mesophyll conductance (gm), and two-resistance gm model (involved in resistances of cell wall and chloroplast), where gm reaches maximum under higher CO2 concentrations, cannot describe the phenomenon that gm decreases with increasing intercellular CO2 concentration (Ci) under relatively higher CO2 concentrations. Yin et al. (2020) proposed a gm model, according to which the ratio of chloroplastic CO2 concentration (Cc) to Ci is constant in the two-resistance gm model, which can describe the decreasing gm with increasing Ci. In the present study, we investigated the relationship between Cc and Ci in leaves of Japanese white birch by using simultaneous measurements of gas exchange and chlorophyll fluorescence under various CO2 concentrations, light intensities, and during progressive drought. Across the range of ambient CO2 from 50 to 1000 μmol mol-1, and light intensities of 50 to 2000 μmol m-2 s-1, measured under well irrigation, the ratio of Cc to Ci kept constant. During the progressive drought, overestimated Ci due to stomatal patchiness and/or cuticular transpiration was empirically corrected (threshold stomatal conductance? less then ?0.